Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.
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Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms.Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography.Automated reference-free detection of motion artifacts in magnetic resonance images.A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images.Impact of iterative model reconstruction combined with dose reduction on the image quality of head and neck CTA in children
P2860
Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Computational and human observ ...... d CT iterative reconstruction.
@ast
Computational and human observ ...... d CT iterative reconstruction.
@en
type
label
Computational and human observ ...... d CT iterative reconstruction.
@ast
Computational and human observ ...... d CT iterative reconstruction.
@en
prefLabel
Computational and human observ ...... d CT iterative reconstruction.
@ast
Computational and human observ ...... d CT iterative reconstruction.
@en
P2093
P2860
P356
P1433
P1476
Computational and human observ ...... d CT iterative reconstruction.
@en
P2093
Brendan L Eck
David L Wilson
Kevin M Brown
Nilgoun Raihani
Rachid Fahmi
Stanislav Zabic
P2860
P304
P356
10.1118/1.4929973
P407
P577
2015-10-01T00:00:00Z